Alternatives and similar repositories for mle-interview-questions:

Users that are interested in mle-interview-questions are comparing it to the libraries listed below

• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 2 years ago
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆171Updated 2 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• KyawHtetWin / chip-huyen-ml-interview-book-solutions
  Solutions provided to Chip Huyen's Machine Learning Interview Book with GPT
  ☆36Updated last year
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• abhishekkrthakur / ml_dev_env
  Machine Learning / Deep Learning Environment. Everywhere. Anywhere.
  ☆50Updated 4 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆197Updated 8 months ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆397Updated 2 years ago
• primaprashant / ml-engineering-blogs
  📚 Curated list of machine learning engineering blogs.
  ☆39Updated 4 months ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆86Updated 2 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆109Updated 3 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• Atharva-Phatak / shopme
  ShopME: An E2E fashion recommendation System
  ☆20Updated last month
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆81Updated 2 years ago
• Machine-Learning-Tokyo / __init__
  ☆137Updated 2 years ago
• Anirudh257 / Solutions-to-Machine-Learning-Interviews-Book-By-Chip-Huyen
  ☆48Updated last year
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆207Updated 3 years ago
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆53Updated 2 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 3 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆260Updated 2 years ago
• abhishekkrthakur / chaii-hindi-tamil-question-answering
  chaii: hindi and tamil question answering
  ☆35Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆81Updated 11 months ago
• FrancescoSaverioZuppichini / Modern-Python-Doc-Example
  mkdocs + material + cool stuff
  ☆64Updated 2 years ago
• Machine-Learning-Tokyo / Annotation_Tools
  Open Source Annotation Tools for Computer Vision and NLP tasks
  ☆53Updated 3 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆407Updated 2 years ago
• charlesfrye / panndas
  Neural networks in pandas
  ☆51Updated 2 years ago
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 2 years ago
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆32Updated 10 months ago
• aniketmaurya / chitra
  A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
  ☆225Updated last month
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆167Updated 3 years ago